CSR--PDOS: Memory Efficient Garbage Collection Framework for Java Server Applications

与使用显式内存管理的类似应用程序相比，使用垃圾收集的应用程序通常需要高达五倍的堆内存。在大型服务器应用中，如此低的内存利用率会导致吞吐量性能严重下降，导致系统不稳定和意外故障。本项目的目标是为这些服务器开发一个内存高效的垃圾回收框架。该框架有三个组件是当今商业垃圾收集器中不存在的：分区堆、基于阶段的垃圾收集调用策略和优先页驱逐策略。总而言之，这三个组件允许任何利用我们的框架的垃圾回收器在需要更少内存的情况下更高效地执行。最终结果是这些服务器在极端内存需求下的吞吐量性能和可预测的优雅的吞吐量下降行为。我们所提出的工作的成功将有助于促进通过行业合作开发的技术转化为实践，并通过各种相关课程进入课堂。在更广泛的背景下，拟议的工作将提高服务器应用程序的性能和稳健性，包括应用程序服务器和网络服务，这是每天为数百万用户提供服务的基于网络的应用程序的基础。

Applications utilizing garbage collection often require up to five times more heap memory than similar applications using explicit memory management. In large server applications, such poor memory utilization can cause the throughput performance to degrade ungracefully, leading to unstable systems and unexpected failures.The goal of this project is to develop a memory-efficient garbage collection framework for these servers. The framework has three components not existing in today's commercial garbage collectors: compartmental heaps, phase-based garbage collection invocation policy, and priority page eviction policy. Collectively, these three components allow any garbage collectors utilizing our framework to perform more efficiently while requiring less memory. The ultimate result is an increase in the throughput performance and a predictable and graceful throughput degradation behavior of these servers under extreme memory demands.The success of our proposed work will help promote the transfer of the technologies developed into practice through the industry collaborations and into the classroom through the various related courses. In a broader context, the proposed work will improve the performance and robustness of server applications including application servers and web services, which are the foundations of web based applications serving millions of users each day.